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Automatic segmentation method for overlapped chromosomes

An automatic segmentation and chromosome technology, applied in image analysis, image data processing, instruments, etc., can solve the problem of low accuracy of overlapping chromosomes, improve accuracy and consistency of results, improve work efficiency, and reliable data support. Effect

Active Publication Date: 2021-07-23
天津深析智能科技发展有限公司
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Problems solved by technology

[0003] There should be 46 chromosomes in normal human cells, and the chromosomes under the microscope image have different cohesive and overlapping modes and different shapes. However, the existing segmentation methods have high requirements for the shape, gray level change and overlapping pattern of overlapping chromosomes. Therefore, the accuracy of the existing segmentation methods for segmenting overlapping chromosomes with different shapes is not high, and some difficult-to-segment samples often need to rely on the experience of medical workers to segment manually

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  • Automatic segmentation method for overlapped chromosomes

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Embodiment Construction

[0025] A method for automatic segmentation of overlapping chromosomes of the present invention will be described in detail below in conjunction with the embodiments and accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0026] Such as figure 1 Shown, a kind of overlapping chromosome automatic segmentation method of the present invention comprises the following steps:

[0027] 1) Train the built overlapping chromosome intelligent segmentation network to obtain the overlapping chromosome intelligent segmentation model, including:

[0028] (1.1) Manual labeling such as figure 2 Outlines of chromosomes in the high magnification images shown;

[0029] (1.2) Obtain an overlapping chromo...

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Abstract

The invention discloses an automatic segmentation method for overlapped chromosomes. The method comprises the following steps: training a built intelligent segmentation network of the overlapped chromosomes to obtain an intelligent segmentation model of the overlapped chromosomes; and segmenting the overlapped chromosomes by using the intelligent segmentation model of the overlapped chromosomes. According to the automatic segmentation method for the overlapped chromosomes, artificial intelligence replaces a traditional medical image method to segment the overlapped chromosomes, the working efficiency of a doctor in analyzing the chromosomes is greatly improved, the analysis accuracy and the result consistency can be gradually improved through a large amount of actual data learning, and reliable data support is provided for diagnosis of the doctor.

Description

technical field [0001] The invention relates to a method for automatic segmentation of overlapping chromosomes. In particular, it relates to a neural network-based automatic segmentation method for overlapping chromosomes. Background technique [0002] The analysis and identification of human chromosomes is an important task of cytogenetics, especially in the diagnosis of genetic diseases, prenatal examination, cancer case study, etc., has a wide range of practical applications. Due to the flexibility of chromosomes and the discreteness of samples, there are often various adhesion and overlapping phenomena in chromosome samples. In the identification process, it is easy to regard multiple overlapping chromosomes as one, resulting in wrong judgment of chromosome type, which has a huge adverse effect on the diagnosis of patients. Before analyzing and identifying the chromosome image, it is very important to segment the chromosome image and separate overlapping chromosomes. ...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06T7/00G06T7/11
CPCG06T7/0012G06T7/11G06T2207/10061G06T2207/20081G06V20/695G06F18/214
Inventor 王志岗贺环宇方超陈亚楠
Owner 天津深析智能科技发展有限公司